TY - GEN
T1 - Providing efficient privacy-aware incentives for mobile sensing
AU - Li, Qinghua
AU - Cao, Guohong
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/8/29
Y1 - 2014/8/29
N2 - Mobile sensing relies on data contributed by users through their mobile device (e.g., smart phone) to obtain useful information about people and their surroundings. However, users may not want to contribute due to lack of incentives and concerns on possible privacy leakage. To effectively promote user participation, both incentive and privacy issues should be addressed. Existing work on privacy-aware incentive is limited to special scenario of mobile sensing where each sensing task needs only one data report from each user, and thus not appropriate for generic scenarios in which sensing tasks may require multiple reports from each user (e.g., in environmental monitoring applications). In this paper, we propose a privacy-aware incentive scheme for general mobile sensing, which allows each sensing task to collect one or multiple reports from each user as needed. Besides being more flexible in task management, our scheme has much lower computation and communication cost compared to the existing solution. Evaluations show that, when each node only contributes data for a small fraction of sensing tasks (e.g, due to the incapability or disqualification to generate sensing data for other tasks), our scheme runs at least one order of magnitude faster.
AB - Mobile sensing relies on data contributed by users through their mobile device (e.g., smart phone) to obtain useful information about people and their surroundings. However, users may not want to contribute due to lack of incentives and concerns on possible privacy leakage. To effectively promote user participation, both incentive and privacy issues should be addressed. Existing work on privacy-aware incentive is limited to special scenario of mobile sensing where each sensing task needs only one data report from each user, and thus not appropriate for generic scenarios in which sensing tasks may require multiple reports from each user (e.g., in environmental monitoring applications). In this paper, we propose a privacy-aware incentive scheme for general mobile sensing, which allows each sensing task to collect one or multiple reports from each user as needed. Besides being more flexible in task management, our scheme has much lower computation and communication cost compared to the existing solution. Evaluations show that, when each node only contributes data for a small fraction of sensing tasks (e.g, due to the incapability or disqualification to generate sensing data for other tasks), our scheme runs at least one order of magnitude faster.
UR - http://www.scopus.com/inward/record.url?scp=84907717157&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84907717157&partnerID=8YFLogxK
U2 - 10.1109/ICDCS.2014.29
DO - 10.1109/ICDCS.2014.29
M3 - Conference contribution
AN - SCOPUS:84907717157
T3 - Proceedings - International Conference on Distributed Computing Systems
SP - 208
EP - 217
BT - Proceedings - International Conference on Distributed Computing Systems
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE 34th International Conference on Distributed Computing Systems, ICDCS 2014
Y2 - 30 June 2014 through 3 July 2014
ER -